The challenge for rice production today is how to improve yields without overly increasing pressure on natural resources. Modern farm practices often orient toward short-term returns, leading to runoff, soil erosion, greenhouse gas emissions, and other negative consequences. It underscores the urgent need for measures that balance productivity against environmental stewardship. This research explores a flexible model aimed at enhancing yield efficiency in rice cultivation while reducing the ecological impact. The first and foremost issue addressed is that of input dependency, nitrogen fertilizers in particular, which may result in economic loss as well as environmental consequence. We want the input to be optimized and the system to be sustainable for production. An adaptive efficiency model was applied to simulate different combined reductions and changes of inputs from heterogeneous rice-growing regions. The system also provided real-time feedback on data allowing for dynamic adjustments to inputs such as fertilizers and irrigation, making recommendations based on actual performance. We also included environmental metrics like CO2 emissions to evaluate potential sustainability benefits. The study showed that modest reductions in fertilizer application substantially increased N use efficiency, reducing emissions by up to 20%, without compromising yield. Productivity gains were further modified by cost adjustments across domains without straining any resource. These results suggest that a responsive, feedback-driven approach can reconcile high-yield production with stewardship. The model addresses this issue by optimizing input utilization, making it a potential solution for resilient, eco-friendly rice cultivation
